His main research interests involve Machine Learning, Data Science, Complex Systems, and in particular Evolutionary Computation. His work can be broadly partitioned into theoretical studies on the foundations of Evolutionary Computation, and applicative work. The former covers the study of the principles of functioning of Evolutionary Algorithms, with the final objective of developing strategies to outperform the traditional techniques. The latter covers several different fields among which computational biology, image processing, personalized medicine, engineering, logistics, economics and marketing. His work has been consistently recognized and appreciated by the international community from 2000 to nowadays. In 2015, he was honoured with the Award for Outstanding Contributions to Evolutionary Computation in Europe, in the context of EvoStar, the leading European Event on Bio-Inspired Computation. In 2020, he was included in the list of the 2% best researchers in the world, both for the year 2019 and for the entire carreer, according to a study conducted by the Stanford University.